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- Faculty Publications (16)
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- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- 2022
- Working Paper
Slowly Varying Regression under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Keywords: Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression under Sparsity." Working Paper, September 2022.
- April 2021 (Revised April 2022)
- Case
OneTen: One Million Opportunities in Ten Years
By: V. Kasturi Rangan and Courtney Han
In the wake of George Floyd's killing in May 2020, and widespread protests for social justice in the United States, OneTen was formed by a coalition of 40 large companies to provide one million jobs for African-Americans in 10 years. The case describes the background... View Details
Keywords: Labor Market; COVID-19 Pandemic; Diversity; Race; Jobs and Positions; Opportunities; Social Issues; Employment; Equality and Inequality; Equity; United States
Rangan, V. Kasturi, and Courtney Han. "OneTen: One Million Opportunities in Ten Years." Harvard Business School Case 521-093, April 2021. (Revised April 2022.)
- 2020
- Article
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion
By: Dimitris Bertsimas and Michael Lingzhi Li
We formulate the problem of matrix completion with and without side information as a non-convex optimization problem. We design fastImpute based on non-convex gradient descent and show it converges to a global minimum that is guaranteed to recover closely the... View Details
Keywords: Mathematical Methods
Bertsimas, Dimitris, and Michael Lingzhi Li. "Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion." Journal of Machine Learning Research 21, no. 1 (2020).
- 2018
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Technical and Strategic Bottlenecks as Guides for Action
The purpose of this chapter is to present analytic tools based on functional maps that can be used to identify investment opportunities and to formulate strategy in large, evolving technical systems. I argue that the points of value creation and value capture in a... View Details
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Technical and Strategic Bottlenecks as Guides for Action." Harvard Business School Working Paper, No. 19-042, October 2018.
- Article
Orienteering for Electioneering
By: Jonah Kallenbach, Robert Kleinberg and Scott Duke Kominers
In this paper, we introduce a combinatorial optimization problem that models the investment decision a political candidate faces when treating his or her opponents’ campaign plans as given. Our formulation accounts for both the time cost of traveling between districts... View Details
Kallenbach, Jonah, Robert Kleinberg, and Scott Duke Kominers. "Orienteering for Electioneering." Operations Research Letters 46, no. 2 (March 2018): 205–210.
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 2016
- Chapter
Deriving an Optimally Deceptive Policy in Two-Player Iterated Games
By: Elisabeth Paulson and Christopher Griffin
We formulate the problem of determining an optimally deceptive strategy in a repeated game framework. We assume that two players are engaged in repeated play. During an initial time period, Player 1 may deceptively train his opponent to expect a specific strategy. The... View Details
Paulson, Elisabeth, and Christopher Griffin. "Deriving an Optimally Deceptive Policy in Two-Player Iterated Games." In Proceedings of 2016 American Control Conference. IEEE Press, 2016. (Developed with Booz Allen Hamilton.)
- September–October 2012
- Article
One-Switch Conditions for Multiattribute Utility Functions
By: Ali E. Abbas and David E. Bell
We introduce a variety of new independence conditions for multiattribute utility functions that permit preference dependencies among the attributes of a decision problem. The hierarchy of new conditions varies in the degree to which it specifies the functional form,... View Details
Abbas, Ali E., and David E. Bell. "One-Switch Conditions for Multiattribute Utility Functions." Operations Research 60, no. 5 (September–October 2012): 1199–1212.
- June 2004
- Case
Aventis SA (A): Planning for a Merger
By: Joshua D. Margolis and Carin-Isabel Knoop
Eight executives at Hoechst and Rhone-Poulenc must make four crucial decisions on the eve of merging their companies to become Aventis--what would become the world's third largest pharmaceutical firm. In addition to formulating a vision and strategy, the two firms must... View Details
Keywords: Problems and Challenges; Mergers and Acquisitions; Horizontal Integration; Organizational Design; Organizational Culture; Pharmaceutical Industry; United States
Margolis, Joshua D., and Carin-Isabel Knoop. "Aventis SA (A): Planning for a Merger." Harvard Business School Case 404-003, June 2004.
- July 2003 (Revised March 2004)
- Case
XM Satellite Radio (A)
By: David B. Godes and Elie Ofek
XM Satellite Radio is a radically new way to listen to radio. Management must develop a marketing strategy to launch the firm and the category. A crucial aspect of the strategy is to determine which of two business models the company will pursue. Should it focus... View Details
Keywords: Advertising; Business Model; Decision Choices and Conditions; Cost Management; Marketing Channels; Marketing Strategy; Problems and Challenges; Partners and Partnerships; Sales; Competitive Strategy; Communications Industry
Godes, David B., and Elie Ofek. "XM Satellite Radio (A)." Harvard Business School Case 504-009, July 2003. (Revised March 2004.)
- September 1997 (Revised May 1998)
- Case
Mitsubishi Motor Manufacturing of America: The Quest for a Model Workplace
By: Lynn S. Paine and Dale Coxe
This case details the sexual harassment case brought against Mitsubishi Motor Manufacturing of America by nearly 300 female employees in April 1996. The recommendations developed for the company by former U.S. Labor Secretary Lynn Marten are presented. In response to... View Details
Keywords: Ethics; Moral Sensibility; Groups and Teams; Organizational Culture; Organizational Change and Adaptation; Behavior; Attitudes; Problems and Challenges; Working Conditions; Crime and Corruption; Auto Industry; United States
Paine, Lynn S., and Dale Coxe. "Mitsubishi Motor Manufacturing of America: The Quest for a Model Workplace." Harvard Business School Case 398-028, September 1997. (Revised May 1998.)
- April 1992 (Revised July 1993)
- Case
Conoco's: "Green" Oil Strategy (A)
Conoco faces challenges in formulating a proactive environmental strategy for its proposed oil development in Ecuador's pristine tropical rain forest region. The case outlines the innovative process in which Conoco collaborated with a wide range of often conflicting... View Details
Keywords: Decision Choices and Conditions; Ethics; Collaborative Innovation and Invention; Corporate Social Responsibility and Impact; Outcome or Result; Problems and Challenges; Business and Stakeholder Relations; Conflict Management; Ecuador
Salter, Malcolm S., and Joseph L. Badaracco Jr. Conoco's: "Green" Oil Strategy (A). Harvard Business School Case 392-133, April 1992. (Revised July 1993.)
- January 1989 (Revised March 1995)
- Case
Du Pont Freon Products Division (A)
In 1988, the Du Pont Co. is abruptly confronted with solid scientific evidence that chlorofluorocarbons are destroying the earth's ozone shield. Du Pont, with its Freon brand product line serving markets for foam insulation, electronics solvents, and especially... View Details
Keywords: Business Divisions; Policy; Management; Brands and Branding; Production; Service Operations; Natural Environment; Competition; Corporate Strategy; Environmental Sustainability
Vietor, Richard H.K., and Forest L. Reinhardt. "Du Pont Freon Products Division (A)." Harvard Business School Case 389-111, January 1989. (Revised March 1995.)
- Forthcoming
- Article
Branch-and-Price for Prescriptive Contagion Analytics
By: Alexandre Jacquillat, Michael Lingzhi Li, Martin Ramé and Kai Wang
Contagion models are ubiquitous in epidemiology, social sciences, engineering, and management. This paper formulates a prescriptive contagion analytics model where a decision maker allocates shared resources across multiple segments of a population, each governed by... View Details
Jacquillat, Alexandre, Michael Lingzhi Li, Martin Ramé, and Kai Wang. "Branch-and-Price for Prescriptive Contagion Analytics." Operations Research (forthcoming). (Pre-published online March 13, 2024.)
- Teaching Interest
Strategy and Technology
By: Andy Wu
The Strategy and Technology elective course explores the unique aspects of creating effective strategies for technology-intensive businesses.
- What strategies win in markets with network effects?
- How can technology be... View Details
Keywords: Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Patents; Business Strategy; Competitive Advantage; Competitive Strategy; Hardware; Information Technology; Internet; Mobile Technology; Online Technology; Search Technology; Software; Technology Adoption; Technology Networks; Technology Platform; Communications Industry; Electronics Industry; Information Technology Industry; Manufacturing Industry; Media and Broadcasting Industry; Technology Industry; Telecommunications Industry; Video Game Industry; Web Services Industry